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  2. HeidiSQL - Wikipedia

    en.wikipedia.org/wiki/HeidiSQL

    HeidiSQL is a free and open-source administration tool for MariaDB, MySQL, as well as Microsoft SQL Server, PostgreSQL and SQLite. Its codebase was originally taken from Ansgar Becker's own MySQL-Front 2.5 software.

  3. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    The consequence of this is that a different query plan is compiled and stored for each different length. In general, the maximum number of "duplicate" plans is the product of the lengths of the variable length columns as specified in the database. For this reason, it is important to use the standard Add method for variable length columns: command.

  4. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    An embeddable, in-process, column-oriented SQL OLAP RDBMS Databend Rust An elastic and reliable Serverless Data Warehouse InfluxDB: Rust Time series database: Greenplum Database C Support and extensions available from VMware. MapD: C++ MariaDB ColumnStore C & C++ Formerly Calpont InfiniDB: Metakit: C++ MonetDB: C

  5. Comparison of object database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_object...

    C++, C#, Java, Python, Smalltalk and XML: SQL superset Proprietary: Distributed, Parallel Query Engine ObjectStore: 7.2 (July 2011) C++, Java, interoperable with .NET SQL subset (also has own object query language) Proprietary: Embedded database supporting efficient, distributed management of C++ and Java objects.

  6. Virtual column - Wikipedia

    en.wikipedia.org/wiki/Virtual_column

    In relational databases a virtual column is a table column whose value(s) is automatically computed using other columns values, or another deterministic expression. Virtual columns are defined of SQL:2003 as Generated Column, [1] and are only implemented by some DBMSs, like MariaDB, SQL Server, Oracle, PostgreSQL, SQLite and Firebird (database server) (COMPUTED BY syntax).

  7. Block contention - Wikipedia

    en.wikipedia.org/wiki/Block_contention

    In database management systems, block contention (or data contention) refers to multiple processes or instances competing for access to the same index or data block at the same time. In general this can be caused by very frequent index or table scans, or frequent updates.

  8. Delete (SQL) - Wikipedia

    en.wikipedia.org/wiki/Delete_(SQL)

    Deleting all rows from a table can be very time-consuming. Some DBMS [clarification needed] offer a TRUNCATE TABLE command that works a lot quicker, as it only alters metadata and typically does not spend time enforcing constraints or firing triggers. DELETE only deletes the rows. For deleting a table entirely the DROP command can be used.

  9. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    A wide-column store (or extensible record store) is a type of NoSQL database. [1] It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table. A wide-column store can be interpreted as a two-dimensional key–value store. [1]